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Search Publications by: Gregory Fiumara (Fed)

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Displaying 1 - 15 of 15

Personal Identity Verification (PIV) of Federal Employees and Contractors

January 24, 2022
Author(s)
Hildegard Ferraiolo, Andrew Regenscheid, Salvatore Francomacaro, David Cooper, Ketan Mehta, Annie W. Sokol, David Temoshok, Gregory Fiumara, Justin Richer, James L. Fenton, Johnathan Gloster, nabil anwer
FIPS 201 establishes a standard for a Personal Identity Verification (PIV) system (Standard) that meets the control and security objectives of Homeland Security Presidential Directive-12 (HSPD-12). It is based on secure and reliable forms of identity

NIST Special Database 302: Supplemental Release of Latent Annotations

November 2, 2021
Author(s)
Gregory Fiumara, Matthew Schwarz, Jessica Heising, Jennifer Peterson, Patricia A. Flanagan, Karen Marshall
The National Institute of Standards and Technology (NIST) released a collection of latent fingerprint images as part of Special Database (SD) 302 in December 2019. While the dataset included 10 000 never-before-seen operational quality images from 200

NIST Fingerprint Image Quality 2

July 13, 2021
Author(s)
Elham Tabassi, Martin Olsen, Oliver Bausinger, Christoph Busch, Andrew Figlarz, Gregory Fiumara, Olaf Henniger, Johannes Merkle, Timo Ruhland, Christopher Schiel, Michael Schwaiger
NIST Fingerprint Image Quality (NFIQ 2) is open source software that links image quality of optical and ink 500 pixel per inch fingerprints to operational recognition performance. This allows quality values to be tightly defined and then numerically

Contactless Fingerprint Capture and Data Interchange Best Practice Recommendation

March 11, 2021
Author(s)
Shahram Orandi, John M. Libert, Craig I. Watson, Gregory Fiumara, John Grantham
While contactless fingerprint capture devices stand to provide for many benefits, images from this nascent technology are sufficiently different than traditional contact-collected images thereby warranting the separation of these new contactless

NIST Special Database 302: Nail to Nail Fingerprint Challenge

December 11, 2019
Author(s)
Gregory P. Fiumara, Patricia A. Flanagan, John D. Grantham, Kenneth Ko, Karen Marshall, Matthew Schwarz, Elham Tabassi, Bryan Woodgate, Christopher Boehnen
In September 2017, the Intelligence Advanced Research Projects Activity (IARPA) held a data collection as part of its Nail to Nail (N2N) Fingerprint Challenge. Participating Challengers deployed devices designed to collect an image of the full nail to nail

Nail to Nail Fingerprint Challenge: Enrollment Set Size Variability

June 24, 2019
Author(s)
Gregory P. Fiumara, Kenneth Ko, Elham Tabassi, Patricia A. Flanagan, John D. Grantham, Karen Marshall, Matthew Schwarz, Bryan Woodgate
In September 2017, the Intelligence Advanced Research Projects Activity held a fingerprint data collection as part of the Nail to Nail Fingerprint Challenge. Thousands of latent fingerprint images collected at the Challenge were searched against rolled

NIST Special Database 301: Nail to Nail Fingerprint Challenge Dry Run

July 11, 2018
Author(s)
Gregory P. Fiumara, Patricia A. Flanagan, Matthew Schwarz, Elham Tabassi, Christopher Boehnen
In April 2017, the Intelligence Advanced Research Projects Activity (IARPA) held a dry run for the data collection portion of its Nail to Nail (N2N) Fingerprint Challenge. This data collection event was designed to ensure that the real data collection

NIST Special Database 300: Uncompressed Plain and Rolled Images from Fingerprint Cards

June 14, 2018
Author(s)
Gregory P. Fiumara, Patricia A. Flanagan, John D. Grantham, Bruce Bandini, Kenneth Ko, John M. Libert
A new collection of legacy inked rolled and plain fingerprint card scans are being released to the public. The cards were scanned at three resolutions in the 8 bit grayscale colorspace. The data is available as lossless images for free.

Nail to Nail Fingerprint Challenge: Prize Analysis

May 3, 2018
Author(s)
Gregory P. Fiumara, Elham Tabassi, Patricia A. Flanagan, John D. Grantham, Kenneth Ko, Karen Marshall, Matthew Schwarz, Bryan Woodgate, Christopher Boehnen
In September 2017, the Intelligence Advanced Research Projects Activity held a fingerprint data collection as part of the Nail to Nail Fingerprint Challenge. Participating Challengers deployed devices designed to collect an image of the full nail to nail

Towards Repeatable, Reproducible, and Efficient Biometric Technology Evaluations

August 18, 2015
Author(s)
Gregory P. Fiumara, Wayne J. Salamon, Craig I. Watson
With the proliferation of biometric-based identity management solutions, biometric algorithms need to be tested now more than ever. Independent biometric technology evaluations are needed to perform this testing, but are not trivial to run, as demonstrated

Fingerprint Vendor Technology Evaluation

January 8, 2015
Author(s)
Craig I. Watson, Gregory P. Fiumara, Elham Tabassi, Su L. Cheng, Patricia A. Flanagan, Wayne J. Salamon
FpVTE was conducted primarily to assess the current capabilities of fingerprint matching algorithms using operational datasets containing several million subjects. There were three classes of participation that examined various finger combinations from

Performance evaluation of fingerprint open-set identification algorithms

September 22, 2014
Author(s)
Elham Tabassi, Craig I. Watson, Gregory P. Fiumara
We report performance of one-to-many fingerprint identification algorithms using one, two, four, eight or ten fingers for recognition. Performance is quantified in terms of recognition accuracy (false positive and false negative identification rate)

Design and Testing of a Mobile Touchscreen Interface for Multi-Modal Biometric Capture

August 1, 2014
Author(s)
Kristen Greene, Ross J. Micheals, Kayee K. Hanaoka, Gregory P. Fiumara
In this report, we describe in detail the design and usability testing of a touchscreen interface for multimodal biometric capture, an application called WSABI, Web Services for the Acquisition of Biometric Information. The application code is publicly

IREX III - Performance of Iris Identification Algorithms

April 3, 2012
Author(s)
Patrick J. Grother, George W. Quinn, James R. Matey, Mei L. Ngan, Wayne J. Salamon, Gregory P. Fiumara, Craig I. Watson
Iris recognition has long been held as an accurate and fast biometric. In the first public evaluation of one-to-many iris identification technologies, this third activity in the Iris Exchange (IREX) program has measured the core algorithmic efficacy and